SENIOR DATA
SCIENTISTS

Built for Smarter Business Decisions.

Square Codex helps North American companies hire experienced nearshore Data Scientists from Costa Rica and Latin America who can transform complex data into predictive insights, measurable business recommendations, and data-driven decision support.

Our Data Scientists can work across statistical analysis, machine learning models, forecasting, experimentation, customer analytics, business intelligence, data storytelling, and model evaluation to help teams make better decisions with confidence.

WHAT OUR DATA SCIENTISTS BRING

Advanced Analytics

Experienced Data Scientists who apply statistics, machine learning, forecasting, segmentation, and predictive modeling to solve real business problems.

Business Decision Support

Professionals who translate data into clear insights, recommendations, dashboards, and measurable actions for product, operations, marketing, finance, and leadership teams.

Nearshore Alignment

Data Science talent from Costa Rica and Latin America working in compatible time zones with North American companies.

Model Quality and Evaluation

We focus on reliable analysis, clear methodology, model validation, explainability, documentation, and responsible use of data.

DATA SCIENCE TALENT FOR MEASURABLE BUSINESS INSIGHTS

Whether you need predictive analytics, customer segmentation, forecasting, experimentation, machine learning models, executive dashboards, product analytics, or better decision intelligence, Square Codex can help you identify the right senior Data Scientist for your business and technical environment.

Senior Data Scientists
Machine Learning Data Scientists
Product Data Scientists
Marketing Data Scientists
Customer Analytics Specialists
Decision Science Analysts

Predictive Analytics Specialists
Experimentation Analysts
Forecasting Specialists
Business Intelligence Analysts
Statistical Modeling Specialists
Data Visualization Specialists

DATA SCIENCE SPECIALISTS FOR MODERN PRODUCT AND BUSINESS TEAMS

Our Data Scientists are not only technical professionals. They understand how to connect data, business goals, product behavior, customer signals, and operational metrics to help companies make better decisions.

From Python, SQL, R, notebooks, dashboards, and machine learning tools to experimentation, forecasting, segmentation, and model evaluation, our specialists know how to turn data into insight without losing business context.

The result is a data science team that can help companies identify opportunities, reduce uncertainty, improve performance, and support decisions with clear evidence.

CORE DATA SCIENCE CAPABILITIES FOR MODERN BUSINESS TEAMS

Senior Data Scientists are expected to do more than analyze data. They help companies define the right questions, build models, validate assumptions, measure outcomes, and communicate insights in a way that supports real business decisions.

Square Codex can help you find Data Science talent with experience across Python, SQL, R, statistical modeling, machine learning, predictive analytics, experimentation, forecasting, dashboards, segmentation, and data storytelling.

Predictive Analytics and Forecasting

Build models that help companies anticipate future outcomes, identify trends, estimate demand, forecast performance, and support planning decisions. This can include time series forecasting, regression models, probability analysis, and scenario evaluation.

Machine Learning Modeling

Design, train, evaluate, and improve machine learning models for classification, prediction, recommendation, churn analysis, anomaly detection, scoring systems, and other business use cases.

Experimentation and A/B Testing

Support product, marketing, and growth teams with experiment design, hypothesis testing, A/B testing, statistical significance, sample sizing, impact measurement, and interpretation of results.

Customer and Product Analytics

Analyze customer behavior, product usage, conversion paths, retention, engagement, segmentation, funnel performance, and user patterns to help teams improve product strategy and customer experience.

Data Visualization and Storytelling

Create dashboards, reports, visual analysis, and executive-ready insights that explain what is happening, why it matters, and what actions teams should consider next.

Model Evaluation and Responsible Analysis

Evaluate model performance, data quality, assumptions, bias risks, reliability, explainability, and business usefulness. Senior Data Scientists help teams avoid misleading conclusions and make decisions with stronger confidence.

How We Help You Hire Better

Understand the Data Science Need

We review your business goals, data sources, current analytics process, reporting gaps, model needs, and decision-making challenges before recommending talent.

Match for Technical and Business Fit

We focus on senior Data Scientists who align with your tools, data environment, statistical needs, business context, communication style, and delivery goals.

Support the Integration

We stay involved through onboarding and follow up to help the Data Scientist integrate successfully with your product, engineering, analytics, and business teams.